Bayesian Self‐Optimization for Telescoped Continuous Flow Synthesis-Reference-Cited by-同舟云学术

Bayesian Self‐Optimization for Telescoped Continuous Flow Synthesis

Published:2022-12-13 Issue:3 Volume:62 Page:
ISSN:1433-7851
Container-title:Angewandte Chemie International Edition
language:en
Short-container-title:Angew Chem Int Ed

Author:

Clayton Adam D.¹^ORCID,Pyzer‐Knapp Edward O.²^ORCID,Purdie Mark³,Jones Martin F.⁴,Barthelme Alexandre⁵,Pavey John⁵,Kapur Nikil⁶^ORCID,Chamberlain Thomas W.¹^ORCID,Blacker A. John¹^ORCID,Bourne Richard A.¹^ORCID

Affiliation:

1. Institute of Process Research and Development Schools of Chemistry & Chemical and Process Engineering University of Leeds Leeds LS2 9JT UK

2. IBM Research UK Daresbury Laboratory Daresbury WA4 4AD UK

3. ISEL Pharmaceutical Technology and Development, Operations AstraZeneca Macclesfield UK

4. Chemical Development Pharmaceutical Technology and Development, Operations AstraZeneca Macclesfield UK

5. UCB Pharma SA All. de la Recherche 60 1070 Anderlecht Belgium

6. Institute of Process Research and Development School of Mechanical Engineering University of Leeds Leeds LS2 9JT UK

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

General Chemistry,Catalysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/anie.202214511

Reference46 articles.

1. Integrated Continuous Pharmaceutical Technologies—A Review

2. For a review see:

3. Multi‐Step Continuous‐Flow Organic Synthesis: Opportunities and Challenges

4. Multi-step continuous-flow synthesis

5. The route from problem to solution in multistep continuous flow synthesis of pharmaceutical compounds

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